code: def test_Unbroadcast():
      v = set_test_value(
          pt.row(), np.array([[1.0, 2.0]], dtype=config.floatX)
      )
      g = Unbroadcast(0)(v)
      g_fg = FunctionGraph(outputs=[g])
      compare_numba_and_py(
          g_fg,
          [
              i.tag.test_value
              for i in g_fg.inputs
              if not isinstance(i, (SharedVariable, Constant))
          ],
      )
  
imports: import numpy
  import pytest
  import pytensor.scalar
  import pytensor.tensor
  import pytensor.tensor.basic
  from pytensor import config, function
  from pytensor.compile import get_mode
  from pytensor.compile.sharedvalue import SharedVariable
  from pytensor.graph.basic import Constant
  from pytensor.graph.fg import FunctionGraph
  from pytensor.scalar import Add
  from pytensor.tensor.shape import Unbroadcast
  from tests.link.numba.test_basic import compare_numba_and_py, compare_shape_dtype, set_test_value
  from tests.tensor.test_basic import TestAlloc
  from pytensor.link.numba.dispatch import numba_funcify
label_desc: Use image node_id 6 for calling a global function with example usage: test_Unbroadcast() without return types